Literature DB >> 27613899

How US Smokers Refer to E-cigarettes: An Examination of User-Generated Posts From a Web-Based Smoking Cessation Intervention, 2008-2015.

Jennifer L Pearson1,2, Michael S Amato3, Xi Wang4, Kang Zhao4, Sarah Cha3, Amy M Cohn3,5, George D Papandonatos6, Amanda L Graham3,5.   

Abstract

INTRODUCTION: A challenge in Electronic Nicotine Delivery System (ENDS) research is how to refer to these devices in ways that are meaningful to current or potential users. The objectives of this study were to: (1) describe the frequency of ENDS terms in a web-based smoking cessation intervention; and (2) determine whether terms vary by US geographic region and date.
METHODS: Data were drawn from public posts between 2008-2015 on http://BecomeAnEX.org and limited to US users. We conducted "exact" and "fuzzy" searches to find posts containing ENDS keywords using custom Python scripts, and extracted geocoding data and date for each post. We examined counts and frequencies of ENDS terms by unique user, by unique user and region, and by unique user and date.
RESULTS: We identified 1023 unique US website users who had written a post containing one or more ENDS keywords. Posters were majority female (79%), educated (78% attended at least some college), and had a median age of 47 years. Overall, 92% of ENDS posters employed the term "e-cigarette" or a derivation. Derivations of "vape" became increasingly popular in 2013, whereas "NJoy" and "blu" were employed by fewer than 2% of posters. We found no variation in frequency of ENDS terms by US region.
CONCLUSIONS: Researchers may have confidence that "e-cigarette" and "vape" are recognizable terms among US treatment-seeking smokers. Conversely, terms such as "ENDS," commonly employed by researchers and public health advocates, are not used by smokers and may be an impediment to tobacco control research. IMPLICATIONS: Researchers may have confidence that "e-cigarette," and, to a lesser extent, "vape" are recognizable terms among US adult smokers referring to ENDS (including accessories, brand names, and actions). Conversely, terms such as "electronic nicotine delivery systems," commonly employed by researchers and public health advocates, are not used by US smokers and may be an impediment to tobacco control research and practice.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Mesh:

Year:  2016        PMID: 27613899      PMCID: PMC5234368          DOI: 10.1093/ntr/ntw206

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  12 in total

1.  Patterns of Electronic Cigarette Use Among Adults in the United States.

Authors:  Cristine D Delnevo; Daniel P Giovenco; Michael B Steinberg; Andrea C Villanti; Jennifer L Pearson; Raymond S Niaura; David B Abrams
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2.  Utilization of services in a randomized trial testing phone- and web-based interventions for smoking cessation.

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3.  E-Cigarettes and Smoking Cessation: Insights and Cautions From a Secondary Analysis of Data From a Study of Online Treatment-Seeking Smokers.

Authors:  Jennifer L Pearson; Cassandra A Stanton; Sarah Cha; Raymond S Niaura; George Luta; Amanda L Graham
Journal:  Nicotine Tob Res       Date:  2014-12-26       Impact factor: 4.244

4.  Electronic cigarettes: time for an accurate and evidence-based debate.

Authors:  Sara C Hitchman; Ann McNeill; Leonie S Brose
Journal:  Addiction       Date:  2014-06       Impact factor: 6.526

5.  Trends in awareness and use of electronic cigarettes among US adults, 2010-2013.

Authors:  Brian A King; Roshni Patel; Kimberly H Nguyen; Shanta R Dube
Journal:  Nicotine Tob Res       Date:  2014-09-19       Impact factor: 4.244

6.  How to define e-cigarette prevalence? Finding clues in the use frequency distribution.

Authors:  Michael S Amato; Raymond G Boyle; David Levy
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7.  Baseline Characteristics and Generalizability of Participants in an Internet Smoking Cessation Randomized Trial.

Authors:  Sarah Cha; Bahar Erar; Raymond S Niaura; Amanda L Graham
Journal:  Ann Behav Med       Date:  2016-10

8.  Health-related effects reported by electronic cigarette users in online forums.

Authors:  My Hua; Mina Alfi; Prue Talbot
Journal:  J Med Internet Res       Date:  2013-04-08       Impact factor: 5.428

9.  Four hundred and sixty brands of e-cigarettes and counting: implications for product regulation.

Authors:  Shu-Hong Zhu; Jessica Y Sun; Erika Bonnevie; Sharon E Cummins; Anthony Gamst; Lu Yin; Madeleine Lee
Journal:  Tob Control       Date:  2014-07       Impact factor: 7.552

10.  Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter.

Authors:  Heather Cole-Lewis; Jillian Pugatch; Amy Sanders; Arun Varghese; Susana Posada; Christopher Yun; Mary Schwarz; Erik Augustson
Journal:  J Med Internet Res       Date:  2015-10-27       Impact factor: 5.428

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  8 in total

1.  Effects of exposure to anti-vaping public service announcements among current smokers and dual users of cigarettes and electronic nicotine delivery systems.

Authors:  Andy S L Tan; Vaughan W Rees; Justin Rodgers; Emeka Agudile; Natasha A Sokol; Kyeungyeun Yie; Ashley Sanders-Jackson
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2.  Automated dripping devices for vapers: RDTAs, bottomfeeders, squonk mods and dripboxes.

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Review 3.  Establishing consensus on survey measures for electronic nicotine and non-nicotine delivery system use: Current challenges and considerations for researchers.

Authors:  Scott R Weaver; Hyoshin Kim; Allison M Glasser; Erin L Sutfin; Jessica Barrington-Trimis; Thomas J Payne; Megan Saddleson; Alexandra Loukas
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4.  Recommended core items to assess e-cigarette use in population-based surveys.

Authors:  Jennifer L Pearson; Sara C Hitchman; Leonie S Brose; Linda Bauld; Allison M Glasser; Andrea C Villanti; Ann McNeill; David B Abrams; Joanna E Cohen
Journal:  Tob Control       Date:  2017-06-17       Impact factor: 7.552

5.  Do you vape? Leveraging electronic health records to assess clinician documentation of electronic nicotine delivery system use among adolescents and adults.

Authors:  Kelly C Young-Wolff; Daniella Klebaner; Bruce Folck; Lisa Carter-Harris; Ramzi G Salloum; Judith J Prochaska; Renee Fogelberg; Andy S L Tan
Journal:  Prev Med       Date:  2017-08-16       Impact factor: 4.018

6.  Influence of Flavors on the Propagation of E-Cigarette-Related Information: Social Media Study.

Authors:  Jiaqi Zhou; Qingpeng Zhang; Daniel Dajun Zeng; Kwok Leung Tsui
Journal:  JMIR Public Health Surveill       Date:  2018-03-23

7.  A Deliberate Choice? Exploring the Decision to Switch from Cigarettes to E-Cigarettes.

Authors:  Kim A G J Romijnders; Liesbeth van Osch; Hein de Vries; Reinskje Talhout
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

8.  An Examination of the Variation in Estimates of E-Cigarette Prevalence among U.S. Adults.

Authors:  David T Levy; Zhe Yuan; Yameng Li; Darren Mays; Luz Maria Sanchez-Romero
Journal:  Int J Environ Res Public Health       Date:  2019-08-30       Impact factor: 3.390

  8 in total

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